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PARETO-OPTIMAL SOLUTIONS USING KINEMATIC AND DYNAMIC FUNCTIONS FOR A SCHONFLIES PARALLEL MANIPULATOR

机译:动力学模型和动力学函数的Pareto最优解在Schonflies并联机械手中的应用

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The search of Pareto-optimal solutions for the optimal design of Low-Mobility Parallel Manipulators with Schonflies motion is the subject of this paper. As a working example, a four-degree-of-freedom symmetric parallel manipulator for Schoenflies-motion generation is taken. In previous work, analytically found objective functions for the optimal design were used. As a consequence, some limitations were detected and new functions are required. First, a manipulator description is made, and kinematic and dynamic problems are solved. Next, an operational and dexterous workspace along with its volume is found making use of a discretization. Further, the variation of this volume with dimensional parameters is shown for purpose of optimal design. Similarly, the manipulator's dexterity based on the Frobenius norm is found and weighted with the measure of dispersion. Then, upon a type of testing trajectory over this workspace, kinematic and dynamic results in the actuators are proposed as objective functions in multiobjective optimization.
机译:本文针对以Schonflies运动为动力的低机动并联机器人的最优设计进行了Pareto最优解的搜索。作为一个工作示例,采用了四自由度对称并行操纵器来生成Schoenflies运动。在先前的工作中,使用了分析发现的目标函数来进行最佳设计。结果,发现了一些限制,并且需要新的功能。首先,对操纵器进行描述,并解决运动学和动力学问题。接下来,利用离散化,发现一个可操作的灵巧工作空间及其体积。此外,出于最佳设计的目的,还显示了该体积随尺寸参数的变化。类似地,找到基于Frobenius范数的机械手的灵巧性,并使用弥散量度对其进行加权。然后,根据该工作空间上的一种测试轨迹,提出了执行器中的运动学和动态结果,作为多目标优化中的目标函数。

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